a Kemijski inštitut/National Institute of Chemistry , Ljubljana , Slovenia.
b Department of Chemistry and Biochemistry , University of Minnesota Duluth , Duluth , USA.
SAR QSAR Environ Res. 2018 Aug;29(8):567-577. doi: 10.1080/1062936X.2018.1498015. Epub 2018 Jul 27.
Applications of nanomaterials in biomedical, industrial, and consumer goods areas are expanding rapidly because of their unique physicochemical properties. Hazard assessment of nanosubstances is necessary for the protection of human and ecological health. We studied the proteomics patterns of three cell lines: co-culture of Caco-2 and HT29-MTX cells, primary small airway epithelial cells, and THP-1macrophage-like cells. The cells were exposed at 10 μg and 100 μg concentrations for 3 and 24 hours to multi-walled carbon nanotubes and TiO nanobelts (TiO-NB). The data were analysed with the hierarchical clustering method and principal components analysis. In all cases, time of exposure is the most important factor in separation and clustering of proteomics patterns. Furthermore, the sets of proteins, which are specific for long (24 hours) exposure, are identified.
由于具有独特的物理化学性质，纳米材料在生物医学、工业和消费品领域的应用正在迅速扩大。为了保护人类和生态健康，有必要对纳米物质进行危害评估。我们研究了三种细胞系的蛋白质组学模式：Caco-2 和 HT29-MTX 细胞共培养、原代小气道上皮细胞和 THP-1 巨噬细胞样细胞。将这些细胞分别用多壁碳纳米管和 TiO 纳米带（TiO-NB）在 10μg 和 100μg 浓度下暴露 3 小时和 24 小时。用层次聚类法和主成分分析法对数据进行分析。在所有情况下，暴露时间都是分离和聚类蛋白质组学模式的最重要因素。此外，还确定了特定于长时间（24 小时）暴露的蛋白质组。
